Evidence map›Paper›PMID 40687795›Full record

ArticleiScience2025

Genomic profiling of a six-generation patrilineal family of the Ming-Qing dynasties in China.

Jincheng Wang, Tianming Zhang, Xiaowen Jia, Zihan Zhang, Jianing He, Chao Ning, Jihong Wang, Tingyu Yang, Guanbo Wang, Yuhong Pang and 1 more

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jincheng WangBiomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.
Tianming ZhangPeking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China.
Xiaowen JiaSchool of Archaeology and Museology, Peking University, Beijing 100871, China.
Zihan ZhangBeijing Institute of Archaeology, Beijing 100009, China.
Jianing HeSchool of Archaeology and Museology, Peking University, Beijing 100871, China.
Chao NingSchool of Archaeology and Museology, Peking University, Beijing 100871, China.
Jihong WangBeijing Institute of Archaeology, Beijing 100009, China.
Tingyu YangBiomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.
Guanbo WangBiomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.
Yuhong PangBiomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.
Yanyi HuangBiomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Family cemeteries from historical periods often follow structured burial patterns, but identifying these arrangements is challenging due to limited written records and ambiguities in archaeological interpretation. Archaeogenetics provides a precise means to determine biological kinship, enabling the reconstruction of social relationships and burial customs. Here, we analyzed ancient DNA and contextual data from 34 individuals at Qianweigou, a Ming-Qing dynasty cemetery in Beijing, reconstructing a six-generation patrilineal pedigree. The genomic data revealed strict patrilineal burial customs, with spouses jointly interred and a non-random west-to-east spatial arrangement reflecting generational chronology. Each generation occupied distinct positions, forming an echelon-like burial pattern. This study demonstrates how genetic data can clarify historical kinship organization, refining hypotheses about Ming-Qing burial customs and advancing our understanding of familial structures in late imperial China.

Indexed as

AnthropologyEvolutionary biologyPaleobiology

Identifiers

PMID40687795
PMCPMC12270692

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.